STEP BY STEP

Our working method

What's scraping

Transform Scattered Data into Unlimited Opportunities

Scraping is the key to unlocking a world of information online. With scraping, you can extract data from a wide range of web sources in an efficient and automated way. From product information to gathering user opinions, scraping gives you access to a treasure trove of data that can be used to inform business decisions, improve your marketing strategy, and uncover new growth opportunities. Discover how scraping can transform your view of data and open up a universe of possibilities.

The power of scraping

Scraping and Crawling for Unlimited Outlets

Powerful tools that let you explore and collect valuable data from across the web, opening the door to a universe of information. With scraping, you can extract specific data from web pages, while crawling allows you to navigate deeply through the vastness of the web to gather a wide range of information. Transform raw data into valuable insights to inform your business decisions and gain a competitive advantage.

Workflow

How we work

1

Fact-finding call

we make an introductory call with the customer to understand his needs and give our opinion on the work to be done

2

Analysis of the problem and related solutions

We carry out an internal analysis of the customer's request and analyze the websites to monitor. We find the solutions that best satisfy the customer and come back to him with a well-structured project

3

Start of work and demo phase

Once an agreement has been reached with the customer, we start a demo phase where we show all the potential of our service. At this point all customers fall in love with us and what we can provide them

4

Implementation of the project

Once the demo phase is over, we start to get serious. We develop the system that monitors and extracts the data requested by the client and processes it to provide it to him in the requested format or on the dashboard specifically created for data analysis

Features

Our strengths that we pride ourselves on

F.a.q.

Most Popular Question

Scraping, also known as web scraping, is the process of automated extraction of data from web pages and other online documents. This process can be performed using specialised software that simulates human web browsing behaviour to extract information from different sources.

Scraping is used in a wide range of industries and for many purposes, including price monitoring, data collection for market analysis, aggregation of information for research, database creation, social media trend monitoring and more.

Some of the challenges of scraping include managing changes in the layout of websites, handling errors during the scraping process, managing rate limiting policies imposed by websites and managing privacy and regulatory compliance issues.

Some best practices for scraping include adhering to the websites' terms of service, using appropriate user agents to simulate human behaviour, handling errors and rate limiting properly, and handling collected data responsibly, respecting privacy and data protection laws.

A wide range of data can be collected through scraping, including text, images, videos, structured data such as tables and charts, as well as unstructured data such as comments, reviews and social media posts.

Yes, it is possible to do scraping on authentication-protected websites, however it is necessary to use specialised techniques such as entering login credentials via browser automation tools or using authenticated sessions via cookies.

Scraping refers specifically to the action of extracting data from web pages, while crawling refers to browsing through a series of web pages to gather information. In essence, scraping is a part of the crawling process.

Crawling is the automated process of navigating through a series of web pages to gather information and build an index of those pages. This process is at the base of search engines and many other applications web.

The purpose of crawling is to gather information from a wide range of web pages in order to create an index that can be used for searching and analysing information.
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